Artificial intelligence based detection of age-related macular degeneration using optical coherence tomography with unique image preprocessing.

Journal: European journal of ophthalmology
Published Date:

Abstract

PURPOSE: The aim of the study is to improve the accuracy of age related macular degeneration (AMD) disease in its earlier phases with proposed Capsule Network (CapsNet) architecture trained on speckle noise reduced spectral domain optical coherence tomography (SD-OCT) images based on an optimized Bayesian non-local mean (OBNLM) filter augmentation techniques.

Authors

  • Ali Riza Cenk Celebi
    Department of Ophthalmology, Acibadem University School of Medicine, Istanbul, Turkey.
  • Erkan Bulut
    Department of Ophthalmology, Beylikduzu Public Hospital, Istanbul, Turkey.
  • Aysun Sezer
    United'Informatique et d'Ingenierie des Systemes, ENSTA-ParisTech, Universite de Paris-Saclay, Villefranche Sur Mer, Provence-Alpes-Côte d'azur, France. Electronic address: aysun.sezer@ensta-paristech.fr.